About this role

Drive engineering quality and reliability of Dyno’s data platform, ensuring access, security, and data lifecycle integrity.
Translate scientific and clinical questions into production-ready systems, including APIs, pipelines, and user-facing tools.
Support team members through code and architectural review to systemically increase engineering quality.
Move quickly from prototype to production, balancing speed with reliability.
Collaborate cross-functionally, leveraging Dyno’s high-trust, high-impact culture to drive results.

6+ years of software engineering experience in industry.
Strong software development best practices: deployment, code management, environment management, and security.
Hands-on cloud engineering experience with GCP and/or AWS, including Terraform, Kubernetes/Docker, and basic cloud networking and security.
Solid experience with data engineering, including relational databases and data modeling.
Expertise in Python or a similar programming language.
React/Javascript experience.
Alignment with Dyno’s core values
We seek individuals who step up when things get tough, recalibrate when priorities shift, and thrive in a high-expectation environment.
A proactive, problem-solving mindset
you don’t just identify challenges; you find solutions.

Annual performance-based bonus
Stock options
Comprehensive medical, dental, and vision coverage
401(k) plan
Flexible paid time off and holidays
Perks including on-campus gym membership, onsite lunch, commuter support, and company provided laptop

Senior Software Engineer – Computational Platform

Key skills